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Scaling AI-powered B2B platforms
Leading and growing engineering teams
Azure and Databricks
Insurance or financial services sector
I have done thisTechnical due diligence on acquisitions
I have done thisDaniel Morris
Profile
Technology leader who has taken platform transformation from proposal to production in retail and health data, and put AI into the working day of teams that had never used it. Seven years running engineering, product and data for a vertically integrated business, working directly with founders and the board.
Experience
Technology Director, Cubitts — 2019 to 2026
- Rebuilt the order pipeline carrying every pair of glasses from store to lab, cutting manual handling to near zero.
- Shipped LLM prescription extraction validated against 44,000+ production records, with human review and supervisor sign-off.
- Took the data platform from nightly exports to a warehouse the commercial team query themselves.
- Grew the team from three to fourteen across engineering, data and product, hiring and mentoring throughout.
- Ran technology through two funding rounds, reporting to the board on architecture, spend and risk.
CTO Consulting (Contract) — 2023 to 2024
- Advised early-stage companies on architecture, hiring and delivery; at one client, cut cloud spend by a third inside a quarter.
- Ran technical due diligence for an investor on a prospective platform acquisition.
Experience, continued
Head of Engineering, Sofar Sounds — 2015 to 2019
- Scaled the booking and ticketing platform across 400+ cities on a small distributed team.
- Introduced the release process and on-call that took deploys from monthly to daily.
Earlier — 2009 to 2015
- Engineering and delivery roles at Tata Steel and MPCH, moving from build to leading small teams.
Tools
TypeScript, Python, Rust · AWS, Postgres, dbt · Anthropic and OpenAI APIs, RAG and agent tooling · Shopify, Xero and lab systems integration
Education
BSc Computer Science, University of Manchester